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| Criterion |  Operations Fishbone Diagram |  Delivery Monte Carlo Forecasting |  Operations Root Cause Analysis |  Operations 5 Whys |
|---|---|---|---|---|
Purposedifferent | When a problem has several possible contributing factors, the method sorts causes by cause areas. It prevents an initial hunch from blocking the view of other plausible drivers. | Helps clarify scope, sequence, and delivery flow in concrete terms. It makes work, boundaries, and order steerable. The result is captured as Forecast Percentiles, Throughput Dataset, and Risk Communication. | When a problem keeps recurring and the cause stays unclear, the method exposes the underlying mechanism. It separates symptom, guess, and robust explanation from one another. | For a single, hard-to-explain deviation, the method exposes the causal chain behind the visible symptom. It keeps the cause open until a controllable condition emerges instead of a mere description. |
Complexitydifferent | Low | High | Medium | Low |
Timedifferent | 30-60 min | 30-90 min Setup, danach laufend | 1-4 h | 15-30 min |
Participantsdifferent | 2-8 | 1-8 | 3-8 | 2-6 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Fishbone Diagram, Cause Categories, Investigation Backlog | Forecast Percentiles, Throughput Dataset, Risk Communication | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan | Root cause notes, Countermeasures |
Tagsno overlap | Root causeQualityOperations | ForecastingFlowDelivery | Root causeProblem solvingQualityIncident | Root causeIncidentLeanProblem solving |